Content related to Best Practices for Enterprise Knowledge Graph Design
What Isn’t a Semantic Layer?
Semantic layers allow organizations to embed context with their organizational data in a way that is systematically interoperable and intuitive to business users. With developments in data and AI, there is a compelling need (and opportunity) for semantic layer development, … Continue reading
What is a Large Language Model (LLM)?
In late November of 2022, artificial intelligence (AI) research and development company OpenAI released ChatGPT, an AI chatbot powered by a Large Language Model (LLM). In the following year, the world witnessed a meteoric rise in the usage of … Continue reading
How to Prepare Content for AI
Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve … Continue reading
Extending Taxonomies to Ontologies
Sometimes the words “taxonomy” and “ontology” are used interchangeably, and while they are closely related, they are not the same thing. They are both considered kinds of knowledge organization systems to support information and knowledge management. Yet there is often … Continue reading
Graph Machine Learning Recommender POC for Public Safety Agency
The Challenge A government agency responsible for regulating and enforcing occupational safety sought to build a content recommender proof-of-concept (POC) that leverages semantic technologies to model the relevant workplace safety domains. The agency aimed to optimize project planning and construction … Continue reading
The Top 5 Reasons for a Semantic Layer
Implementing Semantic Layers has become a critical strategic plan for many of our most advanced data clients. A Semantic Layer connects all organizational knowledge assets, including content items (files, videos, media, etc.) via a well defined and standardized semantic framework. … Continue reading
Measuring the Value of your Semantic Layer: KPIs for Taxonomies, Ontologies, and Knowledge Graphs
Utilizing semantic applications in your business, such as an enterprise taxonomy, ontology, or knowledge graph, can increase efficiency, reduce cognitive load, and improve cohesion across the enterprise, among other benefits. While these benefits are extremely valuable they can be difficult … Continue reading
A Structured Content Model and Multi-Channel Publishing for Rapid Content Distribution
The Challenge EK partnered with the office of a large government agency whose primary mission required them to rapidly distribute real-time updates about current events to government executives and their staff. At the same time, they needed the ability to … Continue reading
Generative AI-Assisted Taxonomy Development for a Global Investment Bank
The Challenge A multinational financial institution with a century-long legacy, celebrated for pioneering financial solutions and shaping the global economic landscape, relied on unstructured data for risk management. With a vast array of risks to consider, and a wealth of … Continue reading
What is a Semantic Layer? (Components and Enterprise Applications)
Over the last decade, many organizations went through expensive migrations – either moving data into a data lake, a data warehouse, a modern data stack, or to the cloud. Yet, the business problems that many are looking to solve through … Continue reading